摘要
为确保机械传动设备安全运行,精准预测齿轮疲劳寿命十分必要。改进基于累计损伤理论以韧性为变量的多级载荷下损伤预测模型,通过两级载荷作用下弯曲疲劳试验结果,根据两级应力幅值之比与弯曲疲劳损伤间的关系拟合损伤缩放因子,将损伤缩放因子用于改进原有模型。改进后的弯曲疲劳寿命预测模型可以较为精准的预测齿轮弯曲疲劳寿命。通过与多种加载顺序下弯曲疲劳试验结果对比,预测结果与试验寿命均值偏差率较小。
To ensure the safe operation of mechanical transmission equipment, it is necessary to predict gears′ fatigue life accurately. Based on the cumulative damage theory and the flexural fatigue test results under two-stage loads, the relationship between the ratio of two-stage stress amplitudes and the bending fatigue damage is established in this paper. The relationship is used to improve the original model. The improved bending fatigue life prediction model can accurately predict the bending fatigue life of gears. Compared with the bending fatigue test results under multi-stage loading under various modes, the prediction result has a small deviation from the average test life.
作者
高翔
杨建伟
李欣
王金海
刘富
GAO Xiang;YANG JianWei;LI Xin;WANG JinHai;LIU Fu(School of Mechanical-Electrical and Vehicle Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles,Beijing 100044,China)
出处
《机械强度》
CAS
CSCD
北大核心
2022年第4期972-977,共6页
Journal of Mechanical Strength
基金
国家自然科学基金项目(51975038,51905028)资助。
关键词
直齿轮
弯曲疲劳试验
疲劳损伤
寿命预测
Spur gear
Endurance bending test
Fatigue damage
Life prediction
作者简介
高翔,男,1997年生,北京市石景山区人,汉族,北京建筑大学硕士研究生,主要研究方向为疲劳可靠性;杨建伟,男,1971年生,河南省开封市人,汉族,北京建筑大学教授,博士,博士生导师,主要研究方向为列车可靠性与故障。
